Dataset Versions

v2

2024-03-29 2:36pm

Generated on Mar 29, 2024

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
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Dataset Split

Train Set 92%
1218Images
Valid Set 8%
101Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±1° Horizontal, ±0° Vertical
Grayscale: Apply to 9% of images
Hue: Between -2° and +2°
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -8% and +8%
Blur: Up to 0.1px
Noise: Up to 0.06% of pixels
Mosaic: Applied
Bounding Box: Flip: Vertical
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Brightness: Between -5% and +5%
Bounding Box: Exposure: Between -5% and +5%
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 0.02% of pixels